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cs.CV2025
Visual Self-Refinement for Autoregressive Models
Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi +5
Autoregressive models excel in sequential modeling and have proven to be effective for vision-language data. However, the spatial nature of visual signals conflicts with the sequen…
cs.LG2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
Divyansh Jhunjhunwala, Arian Raje, Madan Ravi Ganesh +6
LoRA has emerged as one of the most promising fine-tuning techniques, especially for federated learning (FL), since it significantly reduces communication and computation costs at…